云南水牛乳成分分析及乳能量预测模型的建立

发布时间：2018-07-10 16:08

本文选题：水牛乳 + 乳成分　；参考：《动物营养学报》2017年08期

【摘要】：本试验旨在分析水牛乳成分中乳脂肪、乳蛋白、乳糖和乳尿素氮含量及其与乳能量的相关性,建立产奶净能的预测模型,用于奶水牛泌乳期科学的饲养管理。试验采取云南省主要奶水牛养殖场和养殖小区的2014—2015年9—12月份送达昆明市奶牛生产性能测定中心的304个原料乳样本,水牛乳的乳成分由昆明市奶牛生产性能测定中心用MilkoScan FT+FC乳成分体细胞联用仪和MilkoScan FT 120乳成分分析仪测定,鲜乳经真空干燥箱恒温烘干后用氧弹式热量计测定乳能量。结果表明:乳脂肪、乳蛋白、乳糖、乳尿素氮、乳总固形物含量和乳能量分别为6.45%、4.55%、5.31%、13.60 mg/dL、18.77%和4.02 MJ/kg;乳能量分别与乳脂肪和乳蛋白含量呈现极显著正相关(r=0.896 0、r=0.563 0,P0.01),乳能量受乳脂肪和乳蛋白含量的影响较大。分别以乳脂肪(F),乳脂肪和乳蛋白(F和P),乳脂肪、乳蛋白和乳糖(F、P和La),乳脂肪、乳蛋白、乳糖和乳尿素氮含量(F、P、La和MUN)为预测因子,建立的预测乳能量(E)的一元、二元、三元及四元回归方程的拟合度均在0.90以上,方程分别为:E=0.388F+1.540(R~2=0.933 6,P0.01);E=0.373F+0.221P+0.460(R~2=0.926 7,P0.01);E=0.396F+0.186P+0.105La-0.104(R~2=0.954 0,P0.01);E=0.397F+0.187P+0.106La+0.002MUN-0.146(R~2=0.958 0,P0.01)。由此可见,可通过水牛乳中的乳脂肪、乳蛋白、乳糖及乳尿素氮含量预测水牛乳产奶净能。
[Abstract]:The purpose of this experiment was to analyze the contents of milk fat, protein, lactose and urea nitrogen and their correlation with milk energy in buffalo milk, and to establish a prediction model of net energy of milk production, which could be used in the scientific breeding management of buffalo during lactation period. In the experiment, 304 samples of raw milk were sent to Kunming Dairy cattle production performance Test Center from September to December 2014-2015 at main dairy cattle farms and farming areas in Yunnan Province. The milk composition of buffalo milk was determined by MilkoScan FT FC milk component somatic cell analyzer and MilkoScan FT120 milk composition analyzer in Kunming Dairy cattle production performance testing Center. Milk energy was measured by oxygen bomb calorimeter after drying fresh milk by vacuum drying oven at constant temperature. The results showed that: milk fat, milk protein, lactose, milk urea nitrogen, The total solids content and milk energy were 6.45mg / dL 18.77% and 4.02 MJ / kg, respectively, and the milk energy was positively correlated with milk fat and milk protein content (r ~ 0.896 0 ~ 0. 563 ~ 0 / P ~ (0.01), and milk energy was influenced by milk fat and milk protein content. Using milk fat (F), milk fat and milk protein (F and P), milk fat, milk protein and lactose (FG P and La), milk fat, milk protein, lactose and milk urea nitrogen content (FGPA La and mun) as predictors, the predicted milk energy (E) was determined. The fitting degree of the ternary and quaternion regression equations is more than 0.90, and the equation is: 1 / E = 0.388F 1.540 (RP0.01) = 0.373F 0.221P 0.460 (R22O0.396F 0.926 7N P0.01) / E = 0.396F 0.396F 186.P 0.105La-0.104 (RP0.01) = 0.397F (0.106La 0.106La 0.002MUN-0.146 (RH2O20.9580P0.01). The results show that the regression equation is 0.397F 0.377F 0.106La 0.106La 0.002MUN-0.146 (RP0.01), which is 0.396F 0.396F 0.105La-0.104 (RP0.01). Therefore, the milk fat, protein, lactose and urea nitrogen in buffalo milk can be used to predict the net energy of buffalo milk.
【作者单位】：云南农业大学动物科学技术学院;云南省动物营养与饲料重点实验室;湖南工业大学生命科学与化学学院;云南省安宁市畜牧兽医站;云南省昆明市奶牛生产性能测定中心;
【基金】：云南省生物重大专项——奶业专项(2014ZA002) 湖南省科技计划项目(2016NK2096) 中国博士后面上项目(2016M592456) 长沙市科技局重点项目(kh16011067)
【分类号】：S823

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